Journal: Journal of vision

Article Title: Statistics of natural scenes and cortical color processing

doi: 10.1167/10.11.21

Figure Lengend Snippet: (a) Spatial autocorrelation of the orientation field in natural images, shown over specific directions. The large-scale filters were used for smoothing the image before orientation and color computations. (b) An enlarged version of the autocorrelation for orientation. Contour plots are used to depict these functions, using the MATLAB command contourf. (c) Spatial autocorrelation of the color field. (d) An enlarged view of the autocorrelation for color. (e) Spatial autocorrelation of luminance. (f) An enlarged view of the autocorrelation for luminance.

Article Snippet: Contour plots are used to depict these functions, using the MATLAB command contourf . (c) Spatial autocorrelation of the color field. (d) An enlarged view of the autocorrelation for color. (e) Spatial autocorrelation of luminance. (f) An enlarged view of the autocorrelation for luminance.

Techniques:

Journal: MethodsX

Article Title: Logistic regression analysis of populations of electrophysiological models to assess proarrythmic risk

doi: 10.1016/j.mex.2016.12.002

Figure Lengend Snippet: Results of logistic regression analysis. A) Coefficients of the multinomial logistic regression model describing the probability of EAD development in the models of our population. B) Effects on P EAD induced by modulation of one model parameter at the time (G Na , G K,ACh , v NCX , G Kur and G Ks ). C) Statistical analysis on the values of the perturbations to these 5 parameters in the two sub-populations of AP models with or without EADs performed with the MATLAB command boxplot . The central red line indicates the median of each group (reported in ), while the blue box represents the central 50% of the data. The lower and upper boundaries of the central box are, respectively, at the 25th and 75th percentiles. The dotted vertical lines (called “whiskers”) maximally extend to 1.5 times the height (called “inter-quartile range”) of the central box. Individual values outside the range of the whiskers are considered outliers (shown here with red circles). The extremes of the lateral notches of the central box are determined as q 50 ±1.57(q 75 –q 25 )/sqrt(n), where q 25 , q 50 and q 75 are the 25th, 50th (i.e., the median) and 75th percentiles, respectively, and n is the number of observations in each group. These values (reported in ) mark the 95% confidence interval for the medians (i.e., if the notches from two boxplots do not overlap, one can assume that the medians are different with a significance level of 0.05).

Article Snippet: C shows the results of a statistical analysis performed (and plotted) with the MATLAB command boxplot .

Techniques: